Evaluating, partitioning, and mapping the spatial autocorrelation component in ecological niche modeling: A new approach based on environmentally equidistant records

Ecography

Volumn 37, Issue 7, 2014, Pages 637-647

  de Oliveira, Guilherme ^a   Rangel, Thiago Fernando ^b   Lima Ribeiro, Matheus Souza ^b   Terribile, Levi Carina ^b   Diniz Filho, José Alexandre Felizola ^b  

^a Centro de Ciências Agrárias Ambientais e Biológicas CCAAB Univ Federal do Recôncava da Bahia UFRB   (Brazil)

^b FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; CLIMATE MODELING; DICOTYLEDON; GEOGRAPHICAL DISTRIBUTION; GEOGRAPHICAL REGION; MAPPING METHOD; NICHE; NUMERICAL MODEL; PREDICTION; RANGE EXPANSION;

BRAZIL;

QUALEA GRANDIFLORA; VOCHYSIACEAE;

EID: 84903312701     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2013.00564.x     Document Type: Article

References (61)

1. Allouche O. et al. 2006 . Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS) . - J. Appl. Ecol. 43: 1223 - 1232 .
2. Anderson R. et al. 2002 . Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice . - Oikos 98: 3 - 16 .
3. Araújo M. B. and Guisan A . 2006 . Five (or so) challenges for species distribution modelling . - J. Biogeogr. 33: 1677 - 1688 .
4. Araújo M. B. and New M . 2007 . Ensemble forecasting of species distributions . - Trends Ecol. Evol. 22: 42 - 47 .
5. Araújo M. B. and Peterson T . 2012 . Uses and misuses of bioclimatic envelope modeling . - Ecology 93: 1527 - 1539 .
6. Araújo M. B. et al. 2011 . Climate change threatens European conservation areas . - Ecol. Lett. 14: 484 - 492 .
7. Bini L. M. et al. 2006 . Challenging Wallacean and Linnean shortfalls: knowledge gradients and conservation planning in a biodiversity hotspot. -Divers. Distrib. 12: 475 - 482 .
8. Buisson L. et al. 2010 . Uncertainty in ensemble forecasting of species distribution . - Global Change Biol. 16: 1145 - 1157 .
9. Chefaoui R. M. and Lobo J. M . 2008 . Assessing the effects of pseudo-absences on predictive distribution model performance . - Ecol. Model. 210: 478 - 486 .
10. Collevatti R. G. et al. 2012 . A coupled phylogeographical and species distribution modelling approach recovers the demographical history of a Neotropical seasonally dry forest tree species . - Mol. Ecol. 21: 5843 - 5863 .
11. Collevatti R. G. et al. 2013 . Drawbacks in palaeodistribution modelling: the case of South American seasonally dry forests . - J. Biogeogr. 40: 345 - 358 .
12. Colwell R. K. and Rangel T. F . 2009 . Hutchinson's duality: the once and future niche . - Proc. Natl Acad. Sci. USA 106: 19651 - 19658 .
13. Costa A. A. and Araújo G. M . 2001 . Comparação da vegetação arbórea de cerradão e de cerrado na Reserva do Panga, Uberlândia, Minas Gerais . - Acta Bot. Brasilica 15: 63 - 72 .
14. De Marco P. et al. 2008 . Spatial analysis improves species distribution modelling during range expansion . - Biol. Lett. 4: 577 - 580 .
15. de Oliveira G. et al. 2012 . Conserving the Brazilian semiarid (Caatinga) biome under climate change . - Biodivers. Conserv. 21: 2913 - 2926 .
16. Diniz-Filho J. A. F. et al. 2003 . Spatial autocorrelation and red herrings in geographical ecology . - Global Ecol. Biogeogr. 12: 53 - 64 .
17. Diniz-Filho J. A. F. et al. 2008 . Model selection and information theory in geographical ecology . - Global Ecol. Biogeogr. 17: 479 - 488 .
18. Diniz-Filho J. A. F. et al. 2009a . Conservation biogeography and climate change in the Brazilian Cerrado . - Natureza Conservação 7: 100 - 112 .
19. Diniz-Filho J. A. F. et al. 2009b . Partitioning and mapping uncertainties in ensemble of forecasts of species turnover under climate change . - Ecography 32: 897 - 906 .
20. Diniz-Filho J. A. F. et al. 2010 . Defying the course of ignorance: perspectives in insect macroecology and conservation biology . - Insect Conserv. Divers. 3: 172 - 179 .
21. Dormann C. F . 2007 . Effects of incorporating spatial auto correlation into the analysis of species distribution data . - Global Ecol. Biogeogr. 16: 129 - 138 .
22. Dormann C. F. et al. 2007 . Methods to account for spatial autocorrelation in the analysis of species distributional data: a review . - Ecography 30: 609 - 628 .
23. FAO/IIASA/ISRIC/ISS-CAS/JRC 2009 . Harmonized World Soil Database (version 1.1) . - FAO, IIASA-Rome, Laxenburg .
24. Fielding A. H. and Bell J. F . 1997 . A review of methods for the assessment of prediction errors in conservation presence/absence models . - Environ. Conserv. 24: 38 - 49 .
25. Franklin J . 2009 . Mapping species distribution: spatial inference and prediction . - Cambridge Univ. Press .
26. Giovanni R. et al. 2012 . The real task of selecting records for ecological niche models . - Natureza Conservação 10: 139 - 144 .
27. Graham C. H. et al. 2004 . New developments in museum-based informatics and applications in biodiversity analysis . - Trends Ecol. Evol. 19: 498 - 503 .
28. Griffith D. A . 2003 . Spatial autocorrelation and spatial filtering - gaining understanding through theory and scientific visualization . - Springer .
29. Hawkins B. A. et al. 2007 . Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology . - Ecography 30: 375 - 384 .
30. Hijmans R. J . 2012 . Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model . - Ecology 93: 679 - 688 .
31. Hijmans R. J. et al. 2005 . Very high resolution interpolated climate surfaces for global land areas . - Int. J. Climatol. 25: 1965 - 1978 .
32. Hirzel A. H. et al. 2001 . Assessing habitat-suitability models with a virtual species . - Ecol. Model. 145: 111 - 121 .
33. Hortal J. et al. 2007 . Limitations of biodiversity databases: case study on seed-plant diversity in Tenerife, Canary Islands . - Conserv. Biol. 21: 853 - 863 .
34. JBRJ 2012 . Instituto de Pesquisas Jardim Botânico do Rio de Janeiro. Jabot. - Banco de dados da Floresta Brasileira, www.jbrj.gov.br/jabot accessed 23 July 2012.
35. Jiménez-Valverde A. et al. 2009 . The effect of prevalence and its interaction with sample size on the reliability of species distribution models . - Comm. Ecol. 10: 196 - 205 .
36. Legendre P . 1993 . Spatial autocorrelation - trouble or new paradigm . - Ecology 74: 1659 - 1673 .
37. Lobo J. M. et al. 2010 . The uncertain nature of absences and their importance in species distribution modelling . - Ecography 33: 103 - 114 .
38. Peterson A. T. and Soberón J . 2012 . Species distribution modeling and ecological niche modeling: getting the concepts right . - Natureza Conservação 10: 102 - 107 .
39. Peterson A. T. et al. 1999 . Conservatism of ecological niches in evolutionary time . - Science 285: 1265 - 1267 .
40. Peterson A. T. et al. 2007 . Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent . - Ecography 30: 550 - 560 .
41. Peterson A. T. et al. 2011 . Ecological niches and geographical distributions . - Princeton Univ. Press .
42. Phillips S. J. et al. 2009 . Sample selection bias and presence- only distribution models: implications for background and pseudo-absence data . - Ecol. Appl. 19: 181 - 197 .
43. Rangel T. F. L. V. B. et al. 2006 . Towards an integrated computational tool for spatial analysis in macroecology and biogeography . - Global Ecol. Biogeogr. 15: 321 - 327 .
44. Rangel T. F. et al. 2010 . SAM: a comprehensive application for spatial analysis in macroecology . - Ecography 33: 46 - 50 .
45. Ratter J. A. et al. 2003 . Analysis of the floristic composition of the brazilian cerrado vegetation III: comparison of the woody vegetation of 376 areas . - Edinburgh J. Bot. 60: 57 - 109 .
46. Reddy S. and Dávalos L. M . 2003 . Geographical sampling bias and its implications for conservation priorities in Africa . - J. Biogeogr. 30: 1719 - 1727 .
47. Richards C. L. et al. 2007 . Distribution modelling and statistical phylogeography: an integrative framework for generating and testing alternative biogeographical hypotheses . - J. Biogeogr. 34: 1833 - 1845 .
48. Segurado P. et al. 2006 . Consequences of spatial autocorrela tion for niche-based models . - J. Appl. Ecol. 43: 433 - 444 .
49. Stockwell D. and Peters D . 1999 . The GARP modelling system: problems and solutions to automated spatial prediction . - Int. J. Geogr. Inform. Sci. 2: 143 - 158 .
50. Stokland J. N. et al. 2011 . Species distribution modelling-effect of design and sample size of pseudo-absence observations . - Ecol. Model. 222: 1800 - 1809 .
51. Terribile L. C. et al. 2012 . Areas of climate stability in the Brazilian Cerrado: disentangling uncertainties through time . - Natureza Conservação 10: 152 - 159 .
52. Thuiller W. et al. 2004 . Effects of restricting environmental range of data to project current and future species distributions . - Ecography 27: 165 - 172 .
53. Václavík T. et al. 2012 . Accounting for multi-scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) . - J. Biogeogr. 39: 42 - 55 .
54. VanDerWal J. et al. 2009 . Selecting pseudo-absence data for presence-only distribution modeling: how far should you stray from what you know? - Ecol. Model. 220: 589 - 594 .
55. Varela S. et al. in press . Environmental filters reduce the effects of sampling bias and improve predictions of species distribution models . - Ecography .
56. Veloz S. D . 2009 . Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models . - J. Biogeogr. 36: 2290 - 2299 .
57. Warren D. L . 2012 . In defense of 'niche modeling' . - Trends Ecol. Evol. 27: 497 - 500 .
58. Warren D. L. et al. 2008 . Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution . - Evolution 62: 2868 - 2883 .
59. Werneck F. P. et al. 2011 . Revisiting the historical distribution of seasonally dry tropical forests: new insights based on palaeodistribution modelling and palynological evidence . - Global Ecol. Biogeogr. 20: 272 - 288 .
60. Zaniewski A. E. et al. 2002 . Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns . - Ecol. Model. 157: 261 - 280 .
61. Zimmerman N. E. et al. 2010 . New trends in species distribution models . - Ecography 33: 985 - 989 .